Cargo Spill Probability Analysis for the Deep Water Port Project.

Abstract

The study establishes tools by which the probability of liquid cargo spills from tankers and tanker-related loading and unloading facilities could be determined. A probability model for predicting the occurrence of cargo spills was developed and quantified using a Bayesian statistical approach. The probability model considers the size, cause, and location characteristics of cargo spills. A cargo spill was considered to be the entrance of any amount of liquid cargo whether intentional or accidental into the marine environment. (Author Modified Abstract)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1973
Accession Number
AD0758330

Entities

People

  • Dinesh S. Shah
  • Haresh C. Shah
  • Keshavan Nair
  • Wayne S. Smith

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Deep Water
  • Environment
  • Liquids
  • Probability
  • Unloading
  • Water

Readers

  • Aerospace logistics and air mobility.
  • Aviation Safety Risk Assessment.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference